Damage evolution in vibration assisted nano impact machining by loose abrasives at elevated temperatures: A numerical study

Duong, Nick H.; Kore, Vamshi Krishna; Ma, Jianfeng; Lei, Shuting; Jahan, Muhammad P.; Sundaram, Murali M.

doi:10.1016/j.jmapro.2019.09.034

Cited by 1 publication

(3 citation statements)

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“…It happened because of the different stress triaxiality ratios resulting from the different coefficients. These results are presented below in Figure 50 [248].…”

Section: Boundary Conditionsmentioning

confidence: 83%

Section: Boundary Conditionsmentioning

confidence: 99%

“…The validation of the FEM model is obtained by comparing the analytical model results with the simulation results. The FEM simulation, the spherical diamond abrasive, the silicon workpiece, and the boundary conditions for the symmetric surface are represented in Figure 49 [247][248][249]. The results obtained from the simulation showed that for different fraction coefficients, 0.05, 0.3, and 0.5 with several hits (0-25).…”

Section: Boundary Conditionsmentioning

confidence: 99%

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Understanding the Mechanism of Abrasive-Based Finishing Processes Using Mathematical Modeling and Numerical Simulation

Hashmi

Mali

Meena

et al. 2022

Metals

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Recent advances in technology and refinement of available computational resources paved the way for the extensive use of computers to model and simulate complex real-world problems difficult to solve analytically. The appeal of simulations lies in the ability to predict the significance of a change to the system under study. The simulated results can be of great benefit in predicting various behaviors, such as the wind pattern in a particular region, the ability of a material to withstand a dynamic load, or even the behavior of a workpiece under a particular type of machining. This paper deals with the mathematical modeling and simulation techniques used in abrasive-based machining processes such as abrasive flow machining (AFM), magnetic-based finishing processes, i.e., magnetic abrasive finishing (MAF) process, magnetorheological finishing (MRF) process, and ball-end type magnetorheological finishing process (BEMRF). The paper also aims to highlight the advances and obstacles associated with these techniques and their applications in flow machining. This study contributes the better understanding by examining the available modeling and simulation techniques such as Molecular Dynamic Simulation (MDS), Computational Fluid Dynamics (CFD), Finite Element Method (FEM), Discrete Element Method (DEM), Multivariable Regression Analysis (MVRA), Artificial Neural Network (ANN), Response Surface Analysis (RSA), Stochastic Modeling and Simulation by Data Dependent System (DDS). Among these methods, CFD and FEM can be performed with the available commercial software, while DEM and MDS performed using the computer programming-based platform, i.e., “LAMMPS Molecular Dynamics Simulator,” or C, C++, or Python programming, and these methods seem more promising techniques for modeling and simulation of loose abrasive-based machining processes. The other four methods (MVRA, ANN, RSA, and DDS) are experimental and based on statistical approaches that can be used for mathematical modeling of loose abrasive-based machining processes. Additionally, it suggests areas for further investigation and offers a priceless bibliography of earlier studies on the modeling and simulation techniques for abrasive-based machining processes. Researchers studying mathematical modeling of various micro- and nanofinishing techniques for different applications may find this review article to be of great help.

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“…It happened because of the different stress triaxiality ratios resulting from the different coefficients. These results are presented below in Figure 50 [248].…”

Section: Boundary Conditionsmentioning

confidence: 83%

Section: Boundary Conditionsmentioning

confidence: 99%